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The Square

Browse the latest algorithms, datasets, and tools contributed by the global chemometrics community. Find resources, share your work, and stay updated.

Filter by

Codes Datasets

Preprocessing Unmixing MATLAB

Kernelize

Kernelize transforms bilinear data (exponential decays) using kernels to provide trilinear data.

Adrián Gómez-Sánchez [1,2], Raffaele Vitale [1] et al.MIT | 1.0 | 2025-02-14

Preprocessing Missing data MATLAB

Whittaker smoother for data with missing values

A Whittaker smoother using penalized LS & iterative imputation to smooth data & fill gaps.

Adrián Gómez-SánchezMIT | 1.0 | 2025-02-14

Previous 1 4 56Next

Thank you for helping us build a stronger, more collaborative chemometric community!

If you’re interested in becoming a contributor, please contact our team for more information or visit our Contributor’s Guide to learn more about the submission process.

Get Started

Preprocessing Unmixing MATLAB

Kernelize

Kernelize transforms bilinear data (exponential decays) using kernels to provide trilinear data.

Adrián Gómez-Sánchez [1,2], Raffaele Vitale [1] et al.MIT | 1.0 | 2025-02-14

Preprocessing Missing data MATLAB

Whittaker smoother for data with missing values

A Whittaker smoother using penalized LS & iterative imputation to smooth data & fill gaps.

Adrián Gómez-SánchezMIT | 1.0 | 2025-02-14

Previous 1 4 56Next